We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant.
You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation.
This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up
- Own the end-to-end architecture of the Consumer Canvas product.
- Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows.
- Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners).
- Define and enforce PII governance, privacy controls, and security best practices.
- Translate complex business and technical requirements into scalable architecture.
- Support technical teams with architectural guidance and model/structure design.
- Participate directly in design, prototyping, and testing cycles within an Agile environment.
- Act as a senior technical thought partner, providing mentorship (non‑manager role).